Image Data Selection by Quality Comparison in Forming Systems
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Solution Overview
Problem
Existing image processing devices fail to efficiently select the highest quality image data from multiple image data sets originating from different sources, as they do not display and enable selection based on image quality comparison.
Innovation Solution
A data processing device and system that includes a display controller to differentiate and display high-quality image data for selection while preventing the selection of lower-quality data, using collation and comparison devices to determine image origin and quality, and an execution device to perform operations only on selected high-quality data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the image processing device displays multiple images from different sources, then the user can select the most appropriate image, but the device complexity increases due to additional comparison and display control mechanisms
Solution Approach 1:
The collation device performs preliminary comparison of image data before display, pre-determining which images are of highest quality. This preliminary action reduces the complexity of real-time decision-making during user selection, as the system has already prepared and ranked the images based on their quality attributes.
Solution Approach 2:
The display controller acts as an intermediary between the collation device and the user interface. It receives comparison results from the collation device and translates them into visual representations (selectable vs. unselectable images), simplifying the user interaction while maintaining the underlying complexity of image quality assessment.
2Ease of operation
If the image processing device automatically selects high-quality image data, then the operation simplicity increases, but the flexibility for user choice decreases
Solution Approach 1:
The system applies different quality standards to different images locally. Instead of uniformly treating all images the same, the collation device evaluates each image's specific quality attributes (resolution, compression level, source reliability) and applies appropriate selection criteria, allowing automated high-quality selection while preserving user ability to override if needed.
3Productivity
If the device processes all uploaded image data, then the productivity increases by handling more data, but the image quality decreases due to processing lower-quality data
Solution Approach 1:
The collation device extracts and identifies only the highest quality image data from the pool of uploaded images. By taking out only the superior quality images for processing, the system maintains high processing throughput (productivity) while ensuring that only high-quality data is processed, thus avoiding the quality degradation that would result from processing all uploaded images including low-quality ones.
Data Source
AI summary
A data processing device includes a collation device that decides whether first image data and second image data originate from same image data, a comparison device that compares image quality between the first image data and the second image data, when the first image data and the second image data originate from the same image data, and a display controller that causes a display device to display, according to a comparison result from the comparison device, one of a first image represented by the first image data and a second image represented by the second image data, as a selectable image that can be touched through an input device, and the other of the first image and the second image as an unselectable image unable to be selected through the input device.